ABSTRACT. Over recent years, Macrobrachium amazonicum has become a popular species for shrimp farming due to their fast growth, high survival rates, and marketability. Several studies have focused on the development of new technology for the culture of this species, but many aspects of their nutrition and physiology remain unknown. Thus, the goal of the present study was to obtain transcripts of putative genes encoding digestive enzymes, based on a library of the cDNA from the hepatopancreas of M. amazonicum, sequenced in the Ion Torrent TM platform. We identified fragments of nine genes related to digestive enzymes, acting over proteins, carbohydrates and lipids. Endo and exoproteases were also recorded in the hepatopancreas, indicating adaptation to the digestion of protein-rich foods. Nonetheless, the enzymes involved in the carbohydrate metabolism formed the largest functional group in M. amazonicum, including enzymes related to the digestion of starch, chitin, and cellulose. These findings indicate that the species has a genetic apparatus of a well-adapted omnivorous animal. This information may provide important insights for the selection of ingredients for the formulation of a more appropriate diet to the enzymatic repertoire of M. amazonicum.

ABSTRACT One of the most important domains in aquaculture is Macrobrachium, since it represents one of the most cultured crustacean genus worldwide. Description of the authors that study and publish on the subject constitutes a solid contribution to the knowledge of this genus. Indicators of productivity, visibility, relevance, sex and co-authorship of the authors were collected from the Scopus database for the period 1980-2016 to describe the Macrobrachium domain. Conceptual mapping techniques were used to visualize co-author relationships. The greatest amount of contributions to knowledge of the genus Macrobrachium was shown to come from researchers in China, Brazil, USA and India. Only seven women are among the most productive and relevant authors. Multiple co-author networks exist in which the most relevant researchers are the center. Many networks appear to be closed groups with little interaction between external groups or researchers.